Certificates

You can request a certificate of attendance for this course once you've completed it. Please send your request to ich.statscou@ucl.ac.uk

Include the following in your email:

the name of the completed course for which you'd like a certificate

how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)

Cancellations

We accept cancellations up to five working days before the start of the course with a full refund, though we'd appreciate as much notice as possible to re-allocate the place. Places cancelled or changed after this point won't be eligible for a refund. Please send all cancellation requests directly to the course administrator.

Find out about other statistics courses

CASC's stats courses are suitable for anyone requiring an understanding of
research methodology and statistical analyses. The courses allow
non-statisticians to interpret published research and/or undertake their
own research studies.

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Course team

Professor Angie Wade - Course Lead

Angie, Director of the Centre for Applied Statistics Courses (CASC), has been involved in the provision of statistical training to medically based non-statisticians for 25 years. She has a first class Bachelor’s degree in Mathematics and a Master's degree in Applied Statistics from UCL, and a PhD Statistics in the development of likelihood based models for the construction of covariate-related centiles. She joined GOS ICH in 1990, began the development of CASC in 2008 and was ICH’s first teaching professor. She's an active member of local teaching committees, previously chaired an MSc examination board and is currently a member of the UCL Academic Board Education Committee.

Dr Dan Green - Course Lead

Dan joined GOS ICH in May 2017 as a Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics and a Master's degree in Medical Statistics from University of Leicester. He was awarded a NIHR Research Methods Fellowship, hosted at the Arthritis Research UK Primary Care Centre within Keele University. He started a PhD at the same department in 2012, with a NIHR School for Primary Care Research Studentship, exploring hand symptoms over a six year follow-up using latent-related methodology. During his six years at Keele, Dan was involved in numerous applied observational studies and a clinical trial that included a variety of statistical methods, with specialties including latent class analysis (and extensions), STATA programming and survival analysis.

Student review

"Excellent course - helpful and essential to have had the worked example on the second day. Puts all the information into context. Thank you."

"Very useful and presented by a very good educator."

"Got through a lot of material, all very relevant to what I'm doing - thanks!"

Course information last modified: 10 Jan 2019, 13:59

Cost: £275
*

*Concessions may be available

Availability

We don't have a date for this course yet. Please contact Sharon Sagoo to register your interest.

Availability

Related

Five-day course providing a comprehensive introduction to the fundamental aspects of research methods and statistics. For those new to quantitative research. From study design/data types/graphs to choosing/interpreting statistical tests.